Pub Date : 2023-01-03DOI: 10.52088/ijesty.v2i4.389
Rara Audia Utami, Rahma Fitria, R. Meiyanti, Muhammad Ikhwani, Zalfie Ardian
The Regency Apparatus Work Unit (SKPK) is an apparatus of the Regional Government (Provincial and Regency/City) in Indonesia. SKPK is the executor of executive functions that need to be coordinated for the success of government administration. The legal basis for the formation of the SKPK is in article 120 of Law No. 32 of 2004 concerning Regional Government. The Department of Communication, Informatics, and Encryption Service (Diskominfosa) is an agency that is fully responsible for processing information within the Government in Indonesia. The purpose of this application is to collect the data in various offices in Bireuen Regency and store it in the database. The system is web-based that uses the PHP framework Codeigniter 3 and also using the Bootstrap framework. Initially, this study applied field research using the interview as the primary data and the Reports of the Evaluation on Accountability Performance at The Regency Apparatus Work Unit of Bireuen District as the secondary data. In developing the application, the waterfall is applied as a software model used. As the result, the application shifted the manual data processing into the system such as filtering the report based on a daily, monthly, and even yearly basis. In addition, they can check the status of their application data by entering the SKPK code that has been made. This SKPK application data collection information system was created with the aim of making data management orderly and checking the status of the Regency Apparatus Work Unit (SKPK) application easier and more precise.
{"title":"Web-Based of The Regency Apparatus Work Unit Application at the Communications, Informatics, and Encryption Service of Bireuen Regency in Aceh Province","authors":"Rara Audia Utami, Rahma Fitria, R. Meiyanti, Muhammad Ikhwani, Zalfie Ardian","doi":"10.52088/ijesty.v2i4.389","DOIUrl":"https://doi.org/10.52088/ijesty.v2i4.389","url":null,"abstract":"The Regency Apparatus Work Unit (SKPK) is an apparatus of the Regional Government (Provincial and Regency/City) in Indonesia. SKPK is the executor of executive functions that need to be coordinated for the success of government administration. The legal basis for the formation of the SKPK is in article 120 of Law No. 32 of 2004 concerning Regional Government. The Department of Communication, Informatics, and Encryption Service (Diskominfosa) is an agency that is fully responsible for processing information within the Government in Indonesia. The purpose of this application is to collect the data in various offices in Bireuen Regency and store it in the database. The system is web-based that uses the PHP framework Codeigniter 3 and also using the Bootstrap framework. Initially, this study applied field research using the interview as the primary data and the Reports of the Evaluation on Accountability Performance at The Regency Apparatus Work Unit of Bireuen District as the secondary data. In developing the application, the waterfall is applied as a software model used. As the result, the application shifted the manual data processing into the system such as filtering the report based on a daily, monthly, and even yearly basis. In addition, they can check the status of their application data by entering the SKPK code that has been made. This SKPK application data collection information system was created with the aim of making data management orderly and checking the status of the Regency Apparatus Work Unit (SKPK) application easier and more precise.","PeriodicalId":14149,"journal":{"name":"International Journal of Engineering, Science and Information Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90589548","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-27DOI: 10.52088/ijesty.v2i4.383
Sandika Wahyuni Nasution, K. Kartika
Eggplant (Solanum Melongena L) is a type of seasonal vegetable. Eggplants vary in shape and color from white to green to purple. Facts prove that eggplant plants face several threats to their survival and growth, including disease disturbances such as leaf beetles, fruit rot, mealybugs, etc. One way to treat and monitor eggplant plants is to install a camera to capture accurate and fast image data. The image captured by the camera will be digitally processed, which can be used by deep learning methods on object recognition and evaluation system in eggplant plants. Digital image processing can present the color accuracy of leaves, and fruit stems in eggplant plants for solutions and innovations. Digital image processing is the study of image processing techniques. Processed images are still images or images captured with a model camera. In this study, the images taken were of colored leaves attacked by eggplant rot and brown stem rot. The color model used in this study to transform images to color uses the red-green-blue color function. This study uses the YOLOv4 algorithm implemented on a mobile computing device such as Raspberry Pi 4 to select images of eggplant plants captured by a camera. The image data that has been processed will produce results in plant disease diagnoses based on the image captured by the camera. The results will be announced immediately or announced on the Telegram application. We can then detect diseases in eggplant plants and provide immediate preventative measures for diseased plants to maximize yield.
{"title":"Eggplant Disease Detection Using Yolo Algorithm Telegram Notified","authors":"Sandika Wahyuni Nasution, K. Kartika","doi":"10.52088/ijesty.v2i4.383","DOIUrl":"https://doi.org/10.52088/ijesty.v2i4.383","url":null,"abstract":"Eggplant (Solanum Melongena L) is a type of seasonal vegetable. Eggplants vary in shape and color from white to green to purple. Facts prove that eggplant plants face several threats to their survival and growth, including disease disturbances such as leaf beetles, fruit rot, mealybugs, etc. One way to treat and monitor eggplant plants is to install a camera to capture accurate and fast image data. The image captured by the camera will be digitally processed, which can be used by deep learning methods on object recognition and evaluation system in eggplant plants. Digital image processing can present the color accuracy of leaves, and fruit stems in eggplant plants for solutions and innovations. Digital image processing is the study of image processing techniques. Processed images are still images or images captured with a model camera. In this study, the images taken were of colored leaves attacked by eggplant rot and brown stem rot. The color model used in this study to transform images to color uses the red-green-blue color function. This study uses the YOLOv4 algorithm implemented on a mobile computing device such as Raspberry Pi 4 to select images of eggplant plants captured by a camera. The image data that has been processed will produce results in plant disease diagnoses based on the image captured by the camera. The results will be announced immediately or announced on the Telegram application. We can then detect diseases in eggplant plants and provide immediate preventative measures for diseased plants to maximize yield.","PeriodicalId":14149,"journal":{"name":"International Journal of Engineering, Science and Information Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90549323","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-27DOI: 10.52088/ijesty.v2i4.380
Nurmaisinta Harahap, Kartika Kartika
The transformer is one of the essential parts of an electric power system. The distribution transformer is a part of the electric power system which plays a vital role in providing electrical energy services to customers. The increasing population and the development of the times make the need for continuous electrical energy. One of the causes of insulation failure in transformers is overheating in the central part. The transformer requires a cooling system to control the heat energy generated. Transformer oil is an insulating and cooling medium for the central part of the transformer. At the time of operation, some disturbances cause the emergence of gases such as carbon dioxide, ethane, and ethylene. The purpose of this study was to design a device for detecting levels of carbon dioxide (CO2), ethane (C2H6), and ethylene (C2H4) dissolved in transformer oil by displaying the ppm (parts per million) value for each gas. Atmega328 microcontroller is used for system control and as a data processor. The data is in the form of a voltage that the ADC microcontroller feature will change. This information is used to calculate the ppm value for each gas. The concentration of this gas will be displayed on the LCD control panel. From the results of this study, the DS18B20 sensor used has an error of 0.00315%, the MG-811 sensor has an error of 10,022, the MQ-6 sensor has an error of 7,918, and the MQ-2 sensor has an error of 9,356. This is indicated by the LCD output, which receives data automatically.
{"title":"Microcontroller-Based Gas Detection in Transformer Oil","authors":"Nurmaisinta Harahap, Kartika Kartika","doi":"10.52088/ijesty.v2i4.380","DOIUrl":"https://doi.org/10.52088/ijesty.v2i4.380","url":null,"abstract":"The transformer is one of the essential parts of an electric power system. The distribution transformer is a part of the electric power system which plays a vital role in providing electrical energy services to customers. The increasing population and the development of the times make the need for continuous electrical energy. One of the causes of insulation failure in transformers is overheating in the central part. The transformer requires a cooling system to control the heat energy generated. Transformer oil is an insulating and cooling medium for the central part of the transformer. At the time of operation, some disturbances cause the emergence of gases such as carbon dioxide, ethane, and ethylene. The purpose of this study was to design a device for detecting levels of carbon dioxide (CO2), ethane (C2H6), and ethylene (C2H4) dissolved in transformer oil by displaying the ppm (parts per million) value for each gas. Atmega328 microcontroller is used for system control and as a data processor. The data is in the form of a voltage that the ADC microcontroller feature will change. This information is used to calculate the ppm value for each gas. The concentration of this gas will be displayed on the LCD control panel. From the results of this study, the DS18B20 sensor used has an error of 0.00315%, the MG-811 sensor has an error of 10,022, the MQ-6 sensor has an error of 7,918, and the MQ-2 sensor has an error of 9,356. This is indicated by the LCD output, which receives data automatically.","PeriodicalId":14149,"journal":{"name":"International Journal of Engineering, Science and Information Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87693927","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The forecast of electricity consumption is a prediction of the use of electricity for the future by referring to the use of electricity in past data. Estimates of electricity consumption needs are intended to estimate how much electricity consumption is used by customers and must be provided by PT PLN (PERSERO) ULP SIBUHUAN as a provider of electrical energy services. Population growth occurs along with the development of an area, so it affects the demand for electricity and the need for electricity consumption. Load mapping must be done to maintain the continuity and distribution of electrical energy to customers. One way to preserve the continuity of service is to estimate electric power consumption using several forecasting methods. One of the methods that can be used is to combine several load forecasting methods called the combined method. The combined method is a model that incorporates various estimation methods, including econometrics, analytics, and trends, using historical customer data originating from BPS (Central Statistics Agency) Padang Lawas Regency and PT. PLN (PERSERO) ULP SIBUHUAN. The estimated load between 2021 and 2025 is 625,070,452 kWh, with an increase in electricity consumption of 20.7%, household expenses increasing by 1.8%, and business sector expenses by 1.35%. The method used is to calculate manually using Microsoft Excel to obtain forecasting values for population growth; increasing electricity consumption is very important for planning electric power generation, development, and planning of electric power distribution and mapping of loads on customers.
{"title":"Application of The Combined Method in Inventory Forecasting Electricity at PT PLN (Persero) ULP Sibuhuan","authors":"Aminulsyah Nasution, Badriana Badriana, Andik Bintoro","doi":"10.52088/ijesty.v2i4.348","DOIUrl":"https://doi.org/10.52088/ijesty.v2i4.348","url":null,"abstract":"The forecast of electricity consumption is a prediction of the use of electricity for the future by referring to the use of electricity in past data. Estimates of electricity consumption needs are intended to estimate how much electricity consumption is used by customers and must be provided by PT PLN (PERSERO) ULP SIBUHUAN as a provider of electrical energy services. Population growth occurs along with the development of an area, so it affects the demand for electricity and the need for electricity consumption. Load mapping must be done to maintain the continuity and distribution of electrical energy to customers. One way to preserve the continuity of service is to estimate electric power consumption using several forecasting methods. One of the methods that can be used is to combine several load forecasting methods called the combined method. The combined method is a model that incorporates various estimation methods, including econometrics, analytics, and trends, using historical customer data originating from BPS (Central Statistics Agency) Padang Lawas Regency and PT. PLN (PERSERO) ULP SIBUHUAN. The estimated load between 2021 and 2025 is 625,070,452 kWh, with an increase in electricity consumption of 20.7%, household expenses increasing by 1.8%, and business sector expenses by 1.35%. The method used is to calculate manually using Microsoft Excel to obtain forecasting values for population growth; increasing electricity consumption is very important for planning electric power generation, development, and planning of electric power distribution and mapping of loads on customers.","PeriodicalId":14149,"journal":{"name":"International Journal of Engineering, Science and Information Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83356470","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-18DOI: 10.52088/ijesty.v2i4.346
I. Irfan, Muchlis Abdul Muthalib
Sport cannot be separated from everyday life. Sport is a hobby for every age group. Everyone needs exercise to keep the body healthy and fit. Many people are busy with their respective activities, so they need more time to exercise and go to the gym. Apart from having to adjust the time, People stuck at Home do not have free access to go the Gym during the global pandemic. This can be overcome by tracking people's movements virtually. Human Pose Estimation can track the movements being carried out by a person in time. Data collection in the form of optimal detection distance, Human Pose Estimation in calculating the number of fitness repetitions, and data from the application of Human Pose Estimation when someone does fitness sports. The optimal distance webcam detects Human Pose Estimation for fitness reps is three meters. Webcams successfully track and predict the movements made by a person. The program can calculate fitness reps based on the angle at the elbow. The key points on the human body are connected by utility lines to form the body’s skeleton. Application, The repetitions in this detection utilize the value of the elbow angle when the hand is straight and bent. If the tip is >300, such as lifting dumbbells, then a stage up is counted as one rep. Meanwhile, when the angle forms > 1700, a stage down and one repetition also count The use of Media pipe for detection results is accurate and effective.
{"title":"Implementation of Human Pose Estimation Using Angle Calculation Logic on The Elder of The Hands as A Fitness Repetition","authors":"I. Irfan, Muchlis Abdul Muthalib","doi":"10.52088/ijesty.v2i4.346","DOIUrl":"https://doi.org/10.52088/ijesty.v2i4.346","url":null,"abstract":"Sport cannot be separated from everyday life. Sport is a hobby for every age group. Everyone needs exercise to keep the body healthy and fit. Many people are busy with their respective activities, so they need more time to exercise and go to the gym. Apart from having to adjust the time, People stuck at Home do not have free access to go the Gym during the global pandemic. This can be overcome by tracking people's movements virtually. Human Pose Estimation can track the movements being carried out by a person in time. Data collection in the form of optimal detection distance, Human Pose Estimation in calculating the number of fitness repetitions, and data from the application of Human Pose Estimation when someone does fitness sports. The optimal distance webcam detects Human Pose Estimation for fitness reps is three meters. Webcams successfully track and predict the movements made by a person. The program can calculate fitness reps based on the angle at the elbow. The key points on the human body are connected by utility lines to form the body’s skeleton. Application, The repetitions in this detection utilize the value of the elbow angle when the hand is straight and bent. If the tip is >300, such as lifting dumbbells, then a stage up is counted as one rep. Meanwhile, when the angle forms > 1700, a stage down and one repetition also count The use of Media pipe for detection results is accurate and effective.","PeriodicalId":14149,"journal":{"name":"International Journal of Engineering, Science and Information Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79618177","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-17DOI: 10.52088/ijesty.v2i4.329
M. Safriani, I. Y. Salena, M. A. Rafsanjani, Isdaryanto Iskandar
Flood inundation occurs on main roads in Meulaboh City, especially when it rains. Johan Pahlawan District is one of the sub-districts in West Aceh Regency. This sub-district includes a densely populated area of 4243 people, which is in the urban area of Meulaboh City One is the road in Ujung Kalak Village, where floods often occur even though the village already has drainage. A study of the drainage profile is needed to determine the ability of the drainage to accommodate rainwater discharge. The purpose of this study is to find out whether the drainage capacity is able or not to accommodate rainwater discharge. Then proceed with redesigning of the drainage dimensions if the study results show insufficient drainage dimensions to accommodate flood discharge. The research method uses descriptive qualitative. Data collection begins with conducting field surveys to measure the dimensions of the existing drainage channel, including measuring the channel's width, height, and slope. The data needed in this study are rainfall data for at least ten years used to calculate the planned flood discharge and land cover maps to calculate the flow coefficient. The resulting study showed that 24 out of 29 channel segments needed to be enlarged in dimension. Of the 24 channel segments, 70 percent of the channels require cleaning of sediment and channel maintenance so that rainwater can flow, and inundation does not occur again.
{"title":"Study of Drainage Capacity in Ujung Kalak Village, West Aceh District","authors":"M. Safriani, I. Y. Salena, M. A. Rafsanjani, Isdaryanto Iskandar","doi":"10.52088/ijesty.v2i4.329","DOIUrl":"https://doi.org/10.52088/ijesty.v2i4.329","url":null,"abstract":"Flood inundation occurs on main roads in Meulaboh City, especially when it rains. Johan Pahlawan District is one of the sub-districts in West Aceh Regency. This sub-district includes a densely populated area of 4243 people, which is in the urban area of Meulaboh City One is the road in Ujung Kalak Village, where floods often occur even though the village already has drainage. A study of the drainage profile is needed to determine the ability of the drainage to accommodate rainwater discharge. The purpose of this study is to find out whether the drainage capacity is able or not to accommodate rainwater discharge. Then proceed with redesigning of the drainage dimensions if the study results show insufficient drainage dimensions to accommodate flood discharge. The research method uses descriptive qualitative. Data collection begins with conducting field surveys to measure the dimensions of the existing drainage channel, including measuring the channel's width, height, and slope. The data needed in this study are rainfall data for at least ten years used to calculate the planned flood discharge and land cover maps to calculate the flow coefficient. The resulting study showed that 24 out of 29 channel segments needed to be enlarged in dimension. Of the 24 channel segments, 70 percent of the channels require cleaning of sediment and channel maintenance so that rainwater can flow, and inundation does not occur again.","PeriodicalId":14149,"journal":{"name":"International Journal of Engineering, Science and Information Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85008486","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-17DOI: 10.52088/ijesty.v2i4.397
Channareth Srun, P. Chrin, Sokchea Am, Bunthern Kim
In this paper, the performance of the DC-DC converter is assisted by MPPT control in a comparison between Perturb & Observe (P&O) and Incremental Conductance (IC) using the Simulink Support Package for Arduino Hardware. In photovoltaic systems, the maximum power point tracking needs to be powered by PV panels. A microcontroller controls the power converter. Before it is designed, the system is first modeled and simulated using MATLAB/Simulink. The control software implements a pulse-width modulation signal generator embedded in the Arduino microcontroller. The many stages of design for these controllers are discussed, along with simulation and experimentation. The system is tested, and the irradiance varies from 500 w/m2 to 1000 w/m2. The results of this simulation and experiment show that the plan with MPPT and a P&O controller has a higher efficiency of PV power production.
{"title":"Design of MPPT Algorithms using Simulink Support Package for Arduino Hardware","authors":"Channareth Srun, P. Chrin, Sokchea Am, Bunthern Kim","doi":"10.52088/ijesty.v2i4.397","DOIUrl":"https://doi.org/10.52088/ijesty.v2i4.397","url":null,"abstract":"In this paper, the performance of the DC-DC converter is assisted by MPPT control in a comparison between Perturb & Observe (P&O) and Incremental Conductance (IC) using the Simulink Support Package for Arduino Hardware. In photovoltaic systems, the maximum power point tracking needs to be powered by PV panels. A microcontroller controls the power converter. Before it is designed, the system is first modeled and simulated using MATLAB/Simulink. The control software implements a pulse-width modulation signal generator embedded in the Arduino microcontroller. The many stages of design for these controllers are discussed, along with simulation and experimentation. The system is tested, and the irradiance varies from 500 w/m2 to 1000 w/m2. The results of this simulation and experiment show that the plan with MPPT and a P&O controller has a higher efficiency of PV power production.","PeriodicalId":14149,"journal":{"name":"International Journal of Engineering, Science and Information Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80378753","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-16DOI: 10.52088/ijesty.v2i4.331
Raihan Putri, Rizkan Tiara
The enjoyment of brewed coffee is determined by many things, one of which is choosing quality coffee beans and coffee powder. Quality coffee beans are determined by shape and size (full, half full, or damaged). Checking the size and shape of coffee beans manually is subject to external influences such as fatigue, environment, light, etc. With the help of technologyimage processing, these factors can be overcome. Through this paper a tool is designed to detect coffee defects using the Yolo algorithm. The designed system consists of a camera that captures images of coffee beans which are then processed by the Raspberry Pi and the results are displayed on the laptop screen. Detection results using the YOLO algorithm for 10 trials using 100 coffee beans get an average percentage value of 76.54% for the perfect coffee bean category of 43 coffee beans, then the average percentage of imperfect coffee beans is 73.40% with lots of 48 3 coffee beans and coffee beans were not detected with an average percentage value of 1% and coffee beans included in the two categories were 6 coffee beans with an average percentage value of 19.8%. In this study the YOLO algorithm can maintain an accuracy rate of detection success of 75%.
{"title":"Design and Development of a Coffee Bean Selector Using The Yolo Algorithm","authors":"Raihan Putri, Rizkan Tiara","doi":"10.52088/ijesty.v2i4.331","DOIUrl":"https://doi.org/10.52088/ijesty.v2i4.331","url":null,"abstract":"The enjoyment of brewed coffee is determined by many things, one of which is choosing quality coffee beans and coffee powder. Quality coffee beans are determined by shape and size (full, half full, or damaged). Checking the size and shape of coffee beans manually is subject to external influences such as fatigue, environment, light, etc. With the help of technologyimage processing, these factors can be overcome. Through this paper a tool is designed to detect coffee defects using the Yolo algorithm. The designed system consists of a camera that captures images of coffee beans which are then processed by the Raspberry Pi and the results are displayed on the laptop screen. Detection results using the YOLO algorithm for 10 trials using 100 coffee beans get an average percentage value of 76.54% for the perfect coffee bean category of 43 coffee beans, then the average percentage of imperfect coffee beans is 73.40% with lots of 48 3 coffee beans and coffee beans were not detected with an average percentage value of 1% and coffee beans included in the two categories were 6 coffee beans with an average percentage value of 19.8%. In this study the YOLO algorithm can maintain an accuracy rate of detection success of 75%.","PeriodicalId":14149,"journal":{"name":"International Journal of Engineering, Science and Information Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81380118","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-16DOI: 10.52088/ijesty.v2i4.335
Nuryawan Nuryawan, Misbahul Jannah
Electrical energy is an essential requirement in various activities today. Almost all electronic devices that are used require electrical energy to operate. Therefore, the public needs to know how much electrical energy is used to maintain the quality of electronic devices. Electrical energy monitoring is a process of monitoring and a source of information on electrical energy that can be viewed directly or remotely with real-time output results. Electrical energy monitoring is designed as a routine process of collecting or measuring information source data that determines the level of electricity consumption achievement in real-time. By using real-time information technology, the operating conditions of the hardware system and programs have clear timeframes. Based on this background, the authors want to conduct research designed to monitor and obtain sources of information on the results of the use of electrical energy in boarding rooms, of course this monitoring tool is based on microcontrollers and the Internet of Things (IoT), with the creation of this monitoring of electrical energy, with all parameters electricity such as voltage, current, electric power, electrical energy, and power factor used can be measured using the PZEM-004T sensor. Monitoring electrical energy using the NodeMCU platform as an input and output processor will then be displayed on the control panel display and internet of things (IoT) based Blynk server. From these problems, the authors are interested in conducting research that aims to monitor and obtain sources of information on the use of electrical energy in boarding rooms. This monitoring tool is based on a microcontroller. In addition, this monitoring tool is also based on IoT so that power consumption can be monitored directly and remotely with real-time output results. From the results of the measurement test using the PZEM-004T sensor, it was obtained that the difference in the value of the deviation that occurred was relatively small for voltage 0.538%, current 0.007%, electric power 0.383%, electrical energy 0.005% and power factor 0.039%, it was concluded that the PZEM-004T sensor could be used to further observations. At the same time, the real-time control panel output results to the Blynk server using the NodeMCU ESP8266 produce real-time work, as well as the use of relays as controllers of the tools that have been made, have been tested and obtained satisfactory results.
{"title":"Electrical Energy Monitoring and Control System In Boarding Rooms Based On The Internet of Things","authors":"Nuryawan Nuryawan, Misbahul Jannah","doi":"10.52088/ijesty.v2i4.335","DOIUrl":"https://doi.org/10.52088/ijesty.v2i4.335","url":null,"abstract":"Electrical energy is an essential requirement in various activities today. Almost all electronic devices that are used require electrical energy to operate. Therefore, the public needs to know how much electrical energy is used to maintain the quality of electronic devices. Electrical energy monitoring is a process of monitoring and a source of information on electrical energy that can be viewed directly or remotely with real-time output results. Electrical energy monitoring is designed as a routine process of collecting or measuring information source data that determines the level of electricity consumption achievement in real-time. By using real-time information technology, the operating conditions of the hardware system and programs have clear timeframes. Based on this background, the authors want to conduct research designed to monitor and obtain sources of information on the results of the use of electrical energy in boarding rooms, of course this monitoring tool is based on microcontrollers and the Internet of Things (IoT), with the creation of this monitoring of electrical energy, with all parameters electricity such as voltage, current, electric power, electrical energy, and power factor used can be measured using the PZEM-004T sensor. Monitoring electrical energy using the NodeMCU platform as an input and output processor will then be displayed on the control panel display and internet of things (IoT) based Blynk server. From these problems, the authors are interested in conducting research that aims to monitor and obtain sources of information on the use of electrical energy in boarding rooms. This monitoring tool is based on a microcontroller. In addition, this monitoring tool is also based on IoT so that power consumption can be monitored directly and remotely with real-time output results. From the results of the measurement test using the PZEM-004T sensor, it was obtained that the difference in the value of the deviation that occurred was relatively small for voltage 0.538%, current 0.007%, electric power 0.383%, electrical energy 0.005% and power factor 0.039%, it was concluded that the PZEM-004T sensor could be used to further observations. At the same time, the real-time control panel output results to the Blynk server using the NodeMCU ESP8266 produce real-time work, as well as the use of relays as controllers of the tools that have been made, have been tested and obtained satisfactory results.","PeriodicalId":14149,"journal":{"name":"International Journal of Engineering, Science and Information Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91073003","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-13DOI: 10.52088/ijesty.v2i4.330
Sefitriani Khasanah, A. R. Yanti, Dwi Puspa Sari, Imam Tahyudin, D. Saputra
The process of childbirth has many factors that result in the death of the baby and the mother during the delivery process, namely the lack of medical staff or health workers (midwife, doctor, or another paramedic). There needs to be an analysis of the delivery process assisted by medical staff. This analysis maps the readiness of medical staff with the needs in the field. Both natural and cesarean births have the same main goal, to make labor run smoothly and ensure that the mother and baby are safe. Deliveries assisted by health workers use secure, clean, and sterile equipment to prevent infection and other health hazards. The hope is to minimize the number of mothers who are not helped during childbirth. This study aims to analyze data on deliveries assisted by medical staff for case studies in Sleman District, Province of Yogyakarta Special Administrative Region, Indonesia, with the K-Means Algorithm. K-means is an unsupervised learning algorithm that has a function to group data into data clusters. This algorithm can accept data without any category labels, the learning process requires a relatively fast time, is quite easy to understand and implement, and the algorithm is quite popular. The research used 13,869 data in 2018. In 2019, the decrease in the number of mothers giving birth from 13,470 who were rescued was 13,469. The 2018 data produced 3 (three) clusters. In 2019 data produced 4 (four) clusters. With different levels of levels assisted by medical staff starting from the high, medium, and low groups.
{"title":"Analysis of Delivery Data by Medical Staff Using The K-Means Algorithm in Sleman District","authors":"Sefitriani Khasanah, A. R. Yanti, Dwi Puspa Sari, Imam Tahyudin, D. Saputra","doi":"10.52088/ijesty.v2i4.330","DOIUrl":"https://doi.org/10.52088/ijesty.v2i4.330","url":null,"abstract":"The process of childbirth has many factors that result in the death of the baby and the mother during the delivery process, namely the lack of medical staff or health workers (midwife, doctor, or another paramedic). There needs to be an analysis of the delivery process assisted by medical staff. This analysis maps the readiness of medical staff with the needs in the field. Both natural and cesarean births have the same main goal, to make labor run smoothly and ensure that the mother and baby are safe. Deliveries assisted by health workers use secure, clean, and sterile equipment to prevent infection and other health hazards. The hope is to minimize the number of mothers who are not helped during childbirth. This study aims to analyze data on deliveries assisted by medical staff for case studies in Sleman District, Province of Yogyakarta Special Administrative Region, Indonesia, with the K-Means Algorithm. K-means is an unsupervised learning algorithm that has a function to group data into data clusters. This algorithm can accept data without any category labels, the learning process requires a relatively fast time, is quite easy to understand and implement, and the algorithm is quite popular. The research used 13,869 data in 2018. In 2019, the decrease in the number of mothers giving birth from 13,470 who were rescued was 13,469. The 2018 data produced 3 (three) clusters. In 2019 data produced 4 (four) clusters. With different levels of levels assisted by medical staff starting from the high, medium, and low groups.","PeriodicalId":14149,"journal":{"name":"International Journal of Engineering, Science and Information Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79182504","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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